Computer Science

UCAS code: G400

Here's what Coventry University says about its Computer Science course.

The Computer Science course at Coventry University covers the practical skills and theoretical knowledge you need to be successful in this fast-paced, ever-changing industrial sector.

Whether you see your future self as an app developer, a systems administrator, or an information technology specialist, our Computer Science course equips you with the knowledge and skills you will need to help drive the digital revolution.

• Master the practical skills and theoretical knowledge you need to develop software solutions which address demanding user expectations and complex customer requirements.

• Explore fascinating fields, such as artificial intelligence, parallel programming, and data science, and learn how these areas continue to drive major change in the domain of computer science.

• Gain industry-relevant experience as you apply real-world, software development practices within peer groups, preparing you for your career after graduation.

Key Course Benefits

• Activity-led learning helps you consolidate what you’re taught through practical application of everything you’re covering in lectures.

• Opportunity to spend a year on industrial placement.

• Strong professional skills focus.

• Hybrid, online, and asynchronous learning to support students with different needs across a range of locations.

• Regular free-to-attend guest lecturers from current practitioners, which, in recent years, have included senior professors from Sheffield, Lincoln and Birmingham universities and the European Bioinformatics Centre Cambridge (subject to availability).

In the first year, the curriculum is shared across related courses allowing you to gain a broad grounding in the discipline before going on, in the second and third years, to specialist modules in your chosen field.

We want your degree to fit around you, so upon successful completion of your first year, you could swap degrees with another course in your common first year (subject to meeting progression requirements).

Common first-year courses

Computer Science with AI MSci/BSc (Hons) Information Technology Management BSc (Hons) Interactive Media and Web Technologies BSc (Hons) Software Engineering BSc (Hons)

Modules Programming: Concepts and Algorithms - 20 credits Computer Systems - 20 credits Working with Data - 20 Credits Mathematical Skills for Computing Professionals - 20 credits Programming: Professional Practice - 20 credits Integrative Project Module - 20 Credits

Year Two In Year two, you will develop more advanced knowledge and skills to do with artificial intelligence, theory of computation, advanced algorithms, amongst others.

Modules Artificial Intelligence - 20 credits Theory of Computation - 20 credits Advanced Algorithms - 20 credits Operating Systems, Security, and Networks - 20 credits Data Science - 20 credits Software Engineering - 20 credits

Placement Year There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement* can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.

If you choose to do a work placement year, you will pay a reduced tuition fee* of £1,250. For more information, please go to the fees and funding section. During this time you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement.

Final Year In year three, you will develop more advanced knowledge and skills to do with mobile application development, web API development, parallel and distributed programming, amongst others.

Modules Optional modules Security - 20 credits Machine Learning - 20 credits Project Discovery - 20 credits Dissertation and Project Artefact - 20 credits

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website

This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods include: Individual coursework Group coursework Exams Tests Essays Presentations Reports Projects Vivas Core assessments (these are pass / fail and can be attempted multiple times)

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.